Wei Dong

Orcid: 0000-0003-4525-1105

Affiliations:
  • Chinese PLA General Hospital, Beijing, China


According to our database1, Wei Dong authored at least 37 papers between 2014 and 2024.

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Bibliography

2024
Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Adversarial reinforcement learning for dynamic treatment regimes.
J. Biomed. Informatics, January, 2023

2021
Towards Predictive Analysis on Disease Progression: A Variational Hawkes Process Model.
IEEE J. Biomed. Health Informatics, 2021

On learning disentangled representations for individual treatment effect estimation.
J. Biomed. Informatics, 2021

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application.
J. Biomed. Informatics, 2021

Attention-Based Deep Recurrent Model for Survival Prediction.
ACM Trans. Comput. Heal., 2021

2020
On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2020

Treatment effect prediction with adversarial deep learning using electronic health records.
BMC Medical Informatics Decis. Mak., 2020

Interpretable clinical prediction via attention-based neural network.
BMC Medical Informatics Decis. Mak., 2020

In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm.
J. Medical Imaging Health Informatics, 2020

Endpoint prediction of heart failure using electronic health records.
J. Biomed. Informatics, 2020

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs.
CoRR, 2020

2019
Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2019

Evidential MACE prediction of acute coronary syndrome using electronic health records.
BMC Medical Informatics Decis. Mak., 2019

Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.
BMC Medical Informatics Decis. Mak., 2019

Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome.
Knowl. Inf. Syst., 2019

Deep representation learning for individualized treatment effect estimation using electronic health records.
J. Biomed. Informatics, 2019

A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records.
IEEE Access, 2019

Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

2018
A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.
IEEE Trans. Biomed. Eng., 2018

Probabilistic modeling personalized treatment pathways using electronic health records.
J. Biomed. Informatics, 2018

Using neural attention networks to detect adverse medical events from electronic health records.
J. Biomed. Informatics, 2018

Relational regularized risk prediction of acute coronary syndrome using electronic health records.
Inf. Sci., 2018

2017
MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records.
J. Biomed. Informatics, 2017

Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016
Outcome Prediction in Clinical Treatment Processes.
J. Medical Syst., 2016

Incorporating comorbidities into latent treatment pattern mining for clinical pathways.
J. Biomed. Informatics, 2016

Predictive monitoring of clinical pathways.
Expert Syst. Appl., 2016

2015
A probabilistic topic model for clinical risk stratification from electronic health records.
J. Biomed. Informatics, 2015

On mining latent treatment patterns from electronic medical records.
Data Min. Knowl. Discov., 2015

On local anomaly detection and analysis for clinical pathways.
Artif. Intell. Medicine, 2015

Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach.
Proceedings of the AMIA 2015, 2015

Predictive Monitoring of Local Anomalies in Clinical Treatment Processes.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Similarity Measure Between Patient Traces for Clinical Pathway Analysis: Problem, Method, and Applications.
IEEE J. Biomed. Health Informatics, 2014

A genetic fuzzy system for unstable angina risk assessment.
BMC Medical Informatics Decis. Mak., 2014

Online Treatment Compliance Checking for Clinical Pathways.
J. Medical Syst., 2014

Discovery of clinical pathway patterns from event logs using probabilistic topic models.
J. Biomed. Informatics, 2014


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